测绘通报 ›› 2019, Vol. 0 ›› Issue (12): 108-111,151.doi: 10.13474/j.cnki.11-2246.2019.0397

• 技术交流 • 上一篇    下一篇

多源空间数据融合的城市精细化管理

左海龙1, 罗红霞2   

  1. 1. 张家口学院旅游与环境学院, 河北 张家口 075000;
    2. 西南大学地理科学学院, 重庆 400715
  • 收稿日期:2019-04-23 发布日期:2020-01-03
  • 作者简介:左海龙(1982-),男,硕士,讲师,主要研究方向为GIS开发与应用。E-mail:zhl334@126.com
  • 基金资助:
    张家口市社会科学研究课题(2017101)

Urban fine management based on multi-source spatial data fusion

ZUO Hailong1, LUO Hongxia2   

  1. 1. School of Tourism and Environment, Zhang Jiakou University, Zhangjiakou 075000, China;
    2. School of Geography, Southwest University, Chongqing 400715, China
  • Received:2019-04-23 Published:2020-01-03

摘要: 城市管理体量不断增大且管理对象关联繁多,已经成为影响城市可持续发展的重要问题。在全国智慧城市建设的大背景下,引用新技术提升城市精细化管理水平可以使城市的各管理单元协同、精确、及时地交换信息,形成智慧城市管理的配套方案,让有限的管理资源发挥出最大的使用效能,实现城市管理的最优化目标,促进经济的可持续发展。本文提出了地理信息系统、GPS、遥感、RFID等空间数据融合的技术方案,强调在空间信息和移动信息管理的基础上通过工作流和过程化管理,提高城市精细化管理的综合水平,为实现民众参与监督城市管理和智慧城市建设提供参考。

关键词: 城市管理, 精细化, 多源空间数据融合, GIS, 智慧城市

Abstract: The increasing management of urban management and the wide variety of management objects have become important issues affecting the sustainable development of cities. Under the background of nationwide smart city construction, citing new technologies to improve the level of urban refined management can enable the city's management units to exchange information in a coordinated, accurate and timely manner, forming a supporting plan for smart city management, and allowing limited management resources to play out. The maximum use efficiency, to achieve the optimal goal of urban management, and promote sustainable economic development. This paper proposes a technical solution for spatial data fusion such as geographic information system, GPS, remote sensing and RFID. It emphasizes the improvement of the comprehensive level of urban refined management through workflow and process management on the basis of spatial information and mobile information management. Public participation in monitoring urban management and smart city construction provides a reference.

Key words: urban management, refinement, multi-source spatial data fusion, GIS, smart city

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